py_dempster_shafer
Dempster-Shafer theory library
Dempster-Shafer theory library
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A Python library for performing calculations in the Dempster-Shafer theory of evidence. Features: Support for normalized as well as unnormalized belief functions Different Monte-Carlo algorithms for combining belief functions Various methods related to the generalized Bayesian theorem Measures of uncertainty Methods for constructing belief functions from data
Summary
Dempster-Shafer theory library
Last Updated
Jan 12, 2018 at 14:24
License
BSD-3-Clause
Total Downloads
7.1K
Supported Platforms
GitHub Repository
https://github.com/reineking/pyds